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Filter subtitle-credit hallucinations in any language #281
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,38 @@ | ||
| import Foundation | ||
|
|
||
| @main | ||
| struct TranscriptionServiceTests { | ||
| static func main() throws { | ||
| let service = try TranscriptionService(apiKey: "test-key") | ||
|
|
||
| // Silent audio: whisper's subtitle-credit hallucinations get dropped in any language. | ||
| for text in [ | ||
| "Undertekster av Ai-Media", | ||
| "Untertitel von ZDF, 2021", | ||
| "Sous-titres réalisés para la communauté d'Amara.org", | ||
| "Subtítulos realizados por la comunidad de Amara.org", | ||
| "字幕by索兰娅", | ||
| "Thank you.", | ||
| ] { | ||
| assert(service.isHallucination(text: text, json: response(text, noSpeechProb: 0.9)), | ||
| "expected '\(text)' to be filtered on silent audio") | ||
| } | ||
|
|
||
| // Real speech: same phrases survive when whisper is confident there is speech. | ||
| for text in ["Undertekster av Ai-Media", "Thank you."] { | ||
| assert(!service.isHallucination(text: text, json: response(text, noSpeechProb: 0.01)), | ||
| "expected '\(text)' to survive when no_speech_prob is low") | ||
| } | ||
|
|
||
| // A real sentence that merely mentions subtitles is not a credit line. | ||
| let sentence = "Can you add subtitles by tomorrow so the team can review the launch video?" | ||
| assert(!service.isHallucination(text: sentence, json: response(sentence, noSpeechProb: 0.9)), | ||
| "expected a long sentence mentioning subtitles to survive") | ||
|
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| print("TranscriptionServiceTests passed") | ||
| } | ||
|
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| private static func response(_ text: String, noSpeechProb: Double) -> [String: Any] { | ||
| ["text": text, "segments": [["no_speech_prob": noSpeechProb]]] | ||
| } | ||
| } |
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🎯 Functional Correctness | 🟠 Major | 🏗️ Heavy lift
Avoid classifying every short subtitle mention as a credit line.
The substring check treats standalone words such as
untertitel,undertekster, and字幕—as well as phrases likesubtitles by—as hallucinations in any output up to 60 characters. For example, a legitimate utterance such as “Can you add subtitles by Friday?” is filtered wheneverno_speech_prob >= 0.1. Require stronger credit-line/attribution context or narrow these markers, and add a short-sentence regression test; the current test only protects sentences exceeding the length limit.Also applies to: 360-367
🤖 Prompt for AI Agents